The Relationship Between Workplace Environment and Metabolic Syndrome in Different Industries

NCT ID: NCT04815538

Last Updated: 2021-03-26

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

156 participants

Study Classification

OBSERVATIONAL

Study Start Date

2021-06-30

Study Completion Date

2022-10-30

Brief Summary

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The prevalence of MetS and its components among industrial workers and its risk factors correlates among them and compare them with those in employees from a nonindustrial setting, and explore the influence of different industries on hematological parameters especially WBCs derangement

Detailed Description

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Metabolic syndrome (MetS), an important risk factor for Cardio Vascular Disease (CVD), is associated with a 2-fold increase in consequences of CVD and 1.5-fold increase in the total mortality . The term MetS refers to a clustering of CVD risk factors including abdominal obesity, high blood pressure, high blood glucose, high levels of blood triglycerides, and low levels of high-density lipoprotein (HDL) cholesterol. An inappropriate lifestyle is one of the most important risk factors for MetS and CVD . Likely, Workplace and working conditions can affect an employee's lifestyle including dietary intake, physical activity, sleep pattern, and their hobbies.

Workplace environment may also affect the occurrence of metabolic syndrome, Air pollution is another risk factor that can increase the risk of metabolic disorders. Recent epidemiological and experimental studies have reported an association between increased level of air pollution with insulin resistance, weight gain, and obesity . Air pollution is higher in some industrial work environments, including those of the gas and petrochemical industries. This may also increase the risk of MetS and CVD among employees of those workplaces. Few studies have assessed the health of employees in industrial workplaces. However, the working conditions of industrial workplace can have a significant impact on the lifestyle and health of employees.

The prevalence of metabolic syndrome has recently been suggested to vary greatly depending on the subject's business category; high prevalence of metabolic syndrome has been reported among the retired, unemployed, bus drivers, university employees, and workers in the agricultural industry , oil industry , and health care sector .

Type of occupation is also important in development of metabolic syndrome. For example, the incidence of metabolic syndrome in the white-collar workers are higher than other male workers. Those with sedentary or shift work carry a higher risk of metabolic syndrome. The incidence of metabolic syndrome is 2.3-fold higher in those working for 10 or more hours per day.

Multiple studies have linked benzene exposure with the abnormality of hematologic parameters, such as the reduction in the counts of white blood cell (WBC), red blood cell (RBC), neutrophil, and lymphocyte, even at low exposure levels (\< 1 ppm). A decreased WBC count has been considered as a key clinical sign of benzene-induced hematotoxicity.

However, studies investigating the relationship between work environment and metabolic syndrome in our region are scarce. We therefore, conducted this study to determine the relationship between work environment and metabolic syndrome among a petrochemical workers \& non industrial workers.

Conditions

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Metabolic Syndrome, Protection Against

Study Design

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Observational Model Type

CASE_CONTROL

Study Time Perspective

RETROSPECTIVE

Study Groups

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industrial workers

Active workers more than 1 year in petrochemical plant, fertilizer factory , electrical station and food industry

the subscale of Health-Promoting Lifestyle Profile II

Intervention Type BEHAVIORAL

Nutritional health behavior included the following nine items: "choose a low-fat diet"; "limit the use of sugars"; "eat servings of bread, cereal, and rice"; "eat servings of fruit"; "eat servings of vegetables"; "eat servings of meat, poultry, fish, dietary guidelines

control group

office work unexposed

the subscale of Health-Promoting Lifestyle Profile II

Intervention Type BEHAVIORAL

Nutritional health behavior included the following nine items: "choose a low-fat diet"; "limit the use of sugars"; "eat servings of bread, cereal, and rice"; "eat servings of fruit"; "eat servings of vegetables"; "eat servings of meat, poultry, fish, dietary guidelines

Interventions

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the subscale of Health-Promoting Lifestyle Profile II

Nutritional health behavior included the following nine items: "choose a low-fat diet"; "limit the use of sugars"; "eat servings of bread, cereal, and rice"; "eat servings of fruit"; "eat servings of vegetables"; "eat servings of meat, poultry, fish, dietary guidelines

Intervention Type BEHAVIORAL

Other Intervention Names

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Occupational Physical activity

Eligibility Criteria

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Inclusion Criteria

* Active workers more than 1 year in selected plants with matched controls from employee of Assiut University.

Exclusion Criteria

1. Workers who had been working for less than 1 year in their petrochemical plants
2. Workers with self-reported and/or diagnosed carcinomas, hematological diseases, and/or immune diseases.
3. Workers taking any medicine in the preceding 2 weeks affecting lipid profile \& blood picture.
4. Workers unwilling to provide biological samples or doing so in insufficient volume.
5. Workers diagnosed MetS and its components before joing the petrochemical industry.
6. Workers with morbid obesity BMI \> 40
Minimum Eligible Age

18 Years

Maximum Eligible Age

60 Years

Eligible Sex

MALE

Accepts Healthy Volunteers

No

Sponsors

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Assiut University

OTHER

Sponsor Role lead

Responsible Party

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Mariam Roshdy Elkhayat

lecturer

Responsibility Role PRINCIPAL_INVESTIGATOR

Central Contacts

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Mariam R Elkhayat, lecturer

Role: CONTACT

+20 00201003708261

Mai kamal, lecturer

Role: CONTACT

0 122 397 1678

References

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Huang JH, Li RH, Huang SL, Sia HK, Lee SS, Wang WH, Tang FC. Relationships between different types of physical activity and metabolic syndrome among Taiwanese workers. Sci Rep. 2017 Oct 23;7(1):13735. doi: 10.1038/s41598-017-13872-5.

Reference Type BACKGROUND
PMID: 29061986 (View on PubMed)

Hidaka T, Hayakawa T, Kakamu T, Kumagai T, Hiruta Y, Hata J, Tsuji M, Fukushima T. Prevalence of Metabolic Syndrome and Its Components among Japanese Workers by Clustered Business Category. PLoS One. 2016 Apr 15;11(4):e0153368. doi: 10.1371/journal.pone.0153368. eCollection 2016.

Reference Type BACKGROUND
PMID: 27082961 (View on PubMed)

Jeong HS. The Relationship between Workplace Environment and Metabolic Syndrome. Int J Occup Environ Med. 2018 Oct;9(4):176-183. doi: 10.15171/ijoem.2018.1346.

Reference Type BACKGROUND
PMID: 30325358 (View on PubMed)

Clementi EA, Talusan A, Vaidyanathan S, Veerappan A, Mikhail M, Ostrofsky D, Crowley G, Kim JS, Kwon S, Nolan A. Metabolic Syndrome and Air Pollution: A Narrative Review of Their Cardiopulmonary Effects. Toxics. 2019 Jan 30;7(1):6. doi: 10.3390/toxics7010006.

Reference Type BACKGROUND
PMID: 30704059 (View on PubMed)

Mini GK, Sarma PS, Thankappan KR. Overweight, the major determinant of metabolic syndrome among industrial workers in Kerala, India: Results of a cross-sectional study. Diabetes Metab Syndr. 2019 Sep-Oct;13(5):3025-3030. doi: 10.1016/j.dsx.2018.07.009. Epub 2018 Jul 17.

Reference Type BACKGROUND
PMID: 30033228 (View on PubMed)

Sajid Jabbar A, Ali ET. Impact of Petroleum Exposure on Some Hematological Indices, Interleukin-6, and Inflammatory Markers of Workers at Petroleum Stations in Basra City. J Environ Public Health. 2020 Aug 4;2020:7693891. doi: 10.1155/2020/7693891. eCollection 2020.

Reference Type BACKGROUND
PMID: 32831856 (View on PubMed)

Other Identifiers

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Metabolic syndrome and work

Identifier Type: -

Identifier Source: org_study_id

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